Digital Repository

Identifying Factors Associated with Price Categories of Motorcycles in Sri Lanka using Discriminant Analysis

Show simple item record

dc.contributor.author Chanika, P.A.L.
dc.contributor.author Attanayake, A.M.C.H.
dc.contributor.author Gunaratne, M.D.N.
dc.date.accessioned 2021-11-05T07:42:04Z
dc.date.available 2021-11-05T07:42:04Z
dc.date.issued 2021
dc.identifier.citation Chanika, P.A.L., Attanayake, A.M.C.H.& Gunaratne, M.D.N. (2021) Identifying Factors Associated with Price Categories of Motorcycles in Sri Lanka using Discriminant Analysis, Department of Statistics & Computer Science, University of Kelaniya, Sri Lanka.Trade & Productivity Commission Secretariat, Ministry of Industrial Export and Investment Promotion, Sri Lanka. en_US
dc.identifier.issn 2719-2415
dc.identifier.uri http://repository.kln.ac.lk/handle/123456789/23849
dc.description.abstract The motorcycle is one of the most popular modes of transportation in Asia because it is a fast, economic and convenient mode of transportation. According to the motor vehicle registration statistics of the department of motor traffic, motorcycle is the best-selling vehicle in Sri Lanka. Pricing of the motorcycles is one of the major concerns for motorcycle byers and importers. The purposes of this study are to identify the factors which are associated with the prices of motorcycles and to construct a model to determine the price of a motorcycle based on significant factors. Specifications and features of selected motorcycles were collected from secondary data sources. ‘Motorcycle Category’, ‘Fuel Efficiency’, ‘Engine Power’, ‘Brake System’, ‘Torque’, ‘Length’ were the significant factors which had an association between the price categories of motorcycles among 15 properties of motorcycles considered under study. The canonical discriminant analysis was used to develop the model and to predict the price categories of motorcycles. The significant categorical variables were used as the dummy variables. Torque was omitted from the model because of the presence of multicollinearity. The two significant discriminant functions were classified the data into four categories of price. The 75% responds were correctly classified into four price categories. Motorcycle category, Fuel Efficiency, Engine Power, Brake System and Length were found as significantly associated factors to the prices of motorcycles. Decision makers in the field can make good use of those factors in developing their pricing strategies in the motorcycle industry en_US
dc.publisher Department of Statistics & Computer Science, University of Kelaniya, Sri Lanka en_US
dc.subject Canonical Discriminant Analysis, Associated Factors, Pricing of Motorcycles en_US
dc.title Identifying Factors Associated with Price Categories of Motorcycles in Sri Lanka using Discriminant Analysis en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search Digital Repository


Browse

My Account